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基于改进型蚁群算法的网格资源分配的研究
引用本文:赵丰.基于改进型蚁群算法的网格资源分配的研究[J].长江大学学报,2009(2).
作者姓名:赵丰
作者单位:福建经济管理干部学院信息管理系;
摘    要:通过对基于标准蚁群算法和MMAS蚁群算法的网格资源分配算法的比较和分析,提出了另一种自适应的蚁群算法。通过计算机仿真实验证明,自适应改进型蚁群算法相比于基于标准蚁群算法和MMAS蚁群算法的网格资源分配算法具有更强的搜索全局最优解的能力,同时还具有更好的稳定性和收敛性。

关 键 词:网格  资源分配  蚁群算法  MMAS  自适应蚁群算法  

Research of Grid Resource Allocation Based on Improved Ant Colony Optimization
ZHAO Feng.Research of Grid Resource Allocation Based on Improved Ant Colony Optimization[J].Journal of Yangtze University,2009(2).
Authors:ZHAO Feng
Institution:ZHAO Feng(Fujian Economic Management Cadre College,Fuzhou,Fujian 35002,China)
Abstract:Through comparing the grid resource allocation algorithm based on standards and MMAS ant colony algorithm,a self-adapting ant colony algorithm was put forward.According the computer simulation experiments,the advantage of the grid resource allo-cation algorithm based on the self-adapting ant colony algorithm was proved.It's had better search ability of the global optimal solution,and better stability and convergence.
Keywords:grid  resource allocation  ant colony optimization  MMAS(Max-Min ant system)  self-adapting ant colony algorithm  
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